Instructions to use internlm/Intern-S2-Preview-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use internlm/Intern-S2-Preview-FP8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="internlm/Intern-S2-Preview-FP8", trust_remote_code=True) messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoModelForImageTextToText model = AutoModelForImageTextToText.from_pretrained("internlm/Intern-S2-Preview-FP8", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use internlm/Intern-S2-Preview-FP8 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "internlm/Intern-S2-Preview-FP8" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "internlm/Intern-S2-Preview-FP8", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/internlm/Intern-S2-Preview-FP8
- SGLang
How to use internlm/Intern-S2-Preview-FP8 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "internlm/Intern-S2-Preview-FP8" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "internlm/Intern-S2-Preview-FP8", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "internlm/Intern-S2-Preview-FP8" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "internlm/Intern-S2-Preview-FP8", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Docker Model Runner
How to use internlm/Intern-S2-Preview-FP8 with Docker Model Runner:
docker model run hf.co/internlm/Intern-S2-Preview-FP8
| { | |
| "model_type": "intern_s2_preview", | |
| "architectures": [ | |
| "InternS2PreviewForConditionalGeneration" | |
| ], | |
| "transformers_version": "5.2.0", | |
| "auto_map": { | |
| "AutoConfig": "configuration_interns2_preview.InternS2PreviewConfig", | |
| "AutoModelForCausalLM": "modeling_interns2_preview.InternS2PreviewForCausalLM", | |
| "AutoModel": "modeling_interns2_preview.InternS2PreviewModel", | |
| "AutoModelForImageTextToText": "modeling_interns2_preview.InternS2PreviewForConditionalGeneration", | |
| "AutoModelForMultimodalLM": "modeling_interns2_preview.InternS2PreviewForConditionalGeneration" | |
| }, | |
| "image_token_id": 248056, | |
| "text_config": { | |
| "model_type": "qwen3_5_moe_text", | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "attn_output_gate": true, | |
| "dtype": "bfloat16", | |
| "eos_token_id": 248044, | |
| "full_attention_interval": 4, | |
| "head_dim": 256, | |
| "hidden_act": "silu", | |
| "hidden_size": 2048, | |
| "initializer_range": 0.02, | |
| "layer_types": [ | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention" | |
| ], | |
| "linear_conv_kernel_dim": 4, | |
| "linear_key_head_dim": 128, | |
| "linear_num_key_heads": 16, | |
| "linear_num_value_heads": 32, | |
| "linear_value_head_dim": 128, | |
| "max_position_embeddings": 262144, | |
| "mlp_only_layers": [], | |
| "moe_intermediate_size": 512, | |
| "mtp_num_hidden_layers": 1, | |
| "mtp_use_dedicated_embeddings": false, | |
| "num_attention_heads": 16, | |
| "num_experts": 256, | |
| "num_experts_per_tok": 8, | |
| "num_hidden_layers": 40, | |
| "num_key_value_heads": 2, | |
| "rms_norm_eps": 1e-06, | |
| "router_aux_loss_coef": 0.001, | |
| "shared_expert_intermediate_size": 512, | |
| "use_cache": true, | |
| "vocab_size": 251392, | |
| "mamba_ssm_dtype": "float32", | |
| "rope_parameters": { | |
| "mrope_interleaved": true, | |
| "mrope_section": [ | |
| 11, | |
| 11, | |
| 10 | |
| ], | |
| "rope_type": "default", | |
| "rope_theta": 10000000, | |
| "partial_rotary_factor": 0.25 | |
| }, | |
| "pad_token_id": null, | |
| "bos_token_id": null, | |
| "tie_word_embeddings": false, | |
| "output_router_logits": false, | |
| "partial_rotary_factor": 0.25 | |
| }, | |
| "tie_word_embeddings": false, | |
| "video_token_id": 248057, | |
| "vision_config": { | |
| "model_type": "intern_s2_preview", | |
| "deepstack_visual_indexes": [], | |
| "depth": 27, | |
| "hidden_act": "gelu_pytorch_tanh", | |
| "hidden_size": 1152, | |
| "in_channels": 3, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4304, | |
| "num_heads": 16, | |
| "num_position_embeddings": 2304, | |
| "out_hidden_size": 2048, | |
| "patch_size": 16, | |
| "spatial_merge_size": 2, | |
| "temporal_patch_size": 2 | |
| }, | |
| "vision_end_token_id": 248054, | |
| "vision_start_token_id": 248053, | |
| "ts_config": { | |
| "model_type": "interns2_preview_time_series", | |
| "auto_map": { | |
| "AutoConfig": "configuration_interns2_preview.InternS2PreviewTimeSeriesConfig", | |
| "AutoModel": "modeling_interns2_preview.InternS2PreviewTimeSeriesModel" | |
| }, | |
| "activation_dropout": 0.0, | |
| "activation_function": "gelu", | |
| "attention_dropout": 0.0, | |
| "d_model": 768, | |
| "dropout": 0.0, | |
| "encoder_attention_heads": 8, | |
| "encoder_ffn_dim": 3072, | |
| "encoder_layerdrop": 0.0, | |
| "encoder_layers": 17, | |
| "max_source_positions": 1500, | |
| "num_mel_bins": 80, | |
| "out_hidden_size": 2048, | |
| "scale_embedding": false, | |
| "ts_adapt_in_dim": 256, | |
| "ts_adapt_out_dim": 1024, | |
| "ts_hidden_dim": 1024 | |
| }, | |
| "ts_token_id": 248093, | |
| "ts_start_id": 248091, | |
| "ts_end_id": 248092, | |
| "quantization_config": { | |
| "activation_scheme": "dynamic", | |
| "fmt": "e4m3", | |
| "quant_method": "fp8", | |
| "scale_fmt": "ue8m0", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ], | |
| "modules_to_not_convert": [ | |
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| "model.language_model.layers.27.post_attention_layernorm", | |
| "model.language_model.layers.27.self_attn.k_norm", | |
| "model.language_model.layers.27.self_attn.q_norm", | |
| "model.language_model.layers.28.input_layernorm", | |
| "model.language_model.layers.28.linear_attn", | |
| "model.language_model.layers.28.linear_attn.conv1d", | |
| "model.language_model.layers.28.linear_attn.in_proj_a", | |
| "model.language_model.layers.28.linear_attn.in_proj_b", | |
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| "model.language_model.layers.28.mlp.gate", | |
| "model.language_model.layers.28.mlp.shared_expert_gate", | |
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| "model.language_model.layers.29.input_layernorm", | |
| "model.language_model.layers.29.linear_attn", | |
| "model.language_model.layers.29.linear_attn.conv1d", | |
| "model.language_model.layers.29.linear_attn.in_proj_a", | |
| "model.language_model.layers.29.linear_attn.in_proj_b", | |
| "model.language_model.layers.29.linear_attn.norm", | |
| "model.language_model.layers.29.mlp.gate", | |
| "model.language_model.layers.29.mlp.shared_expert_gate", | |
| "model.language_model.layers.29.post_attention_layernorm", | |
| "model.language_model.layers.3.input_layernorm", | |
| "model.language_model.layers.3.mlp.gate", | |
| "model.language_model.layers.3.mlp.shared_expert_gate", | |
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| "model.language_model.layers.3.self_attn.k_norm", | |
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| "model.language_model.layers.30.input_layernorm", | |
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| "model.visual.blocks.9.norm1", | |
| "model.visual.blocks.9.norm2", | |
| "model.visual.merger.linear_fc1", | |
| "model.visual.merger.linear_fc2", | |
| "model.visual.merger.norm", | |
| "model.visual.patch_embed.proj", | |
| "model.visual.pos_embed", | |
| "mtp.fc", | |
| "mtp.layers.0.input_layernorm", | |
| "mtp.layers.0.mlp.gate", | |
| "mtp.layers.0.mlp.shared_expert_gate", | |
| "mtp.layers.0.post_attention_layernorm", | |
| "mtp.layers.0.self_attn.k_norm", | |
| "mtp.layers.0.self_attn.q_norm", | |
| "mtp.norm", | |
| "mtp.pre_fc_norm_embedding", | |
| "mtp.pre_fc_norm_hidden" | |
| ] | |
| } | |
| } |